STRUCTURAL OPTIMIZATION FOR DEFORMABLE MIRROR HEXAGON SUPPORT BASED ON ARTIFICIAL INTELLIGENCE TECHNOLOGY
Taking account of the complexity of optimization of the deformable mirror support structure, this paper puts forward an intelligent optimized method for multi variable structure. On the basis of modal analysis which is implemented by the finite element software, a method combining orthogonal experiment, artificial neural network (ANN) and genetic algorithms(GA) is applied to optimization of the structural parameters for the DM hexagon support structure. Finally, the random vibration analysis is given for the optimized support structure and the results indicate the optimization method based on artificial intelligent technology is effective.
artificial intelligent artificial neural network (ANN) genetic algorithms (GA) optimization
Fu Zhao Yanjue Gong Li Zhang Huiyu Xiang Ping Wang
College of Mechanical Engineering, Beijing Technology and Business University, Beijing, China Dept. of Optical Engineering, Beijing Institute of Technology, Beijing, China
国际会议
北京
英文
491-494
2009-11-06(万方平台首次上网日期,不代表论文的发表时间)